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Lead Data Scientist

Posted 2024-10-15

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💎 Seniority level: Senior, 5+ years

📍 Location: India

🔍 Industry: Product engineering, cloud-native, data engineering, B2B SaaS, IoT & Machine Learning

🏢 Company: Velotio Technologies

⏳ Experience: 5+ years

🪄 Skills: AWSPythonSQLData AnalysisGCPHadoopMachine LearningNumpyPyTorchAlgorithmsAzureData analysisData sciencePandasSparkTensorflowAnalytical Skills

Requirements:
  • 5+ years of industry experience in data science or related field.
  • Strong expertise in statistical analysis, predictive modeling, and machine learning algorithms.
  • Proficient in Python and popular data analysis and machine learning libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
  • Experience with big data processing frameworks (e.g., Spark, Hadoop).
  • Solid understanding of SQL and databases.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP).
  • Excellent problem-solving and analytical skills.
  • Strong communication and presentation skills.
  • Master's or PhD in a quantitative field (e.g., Data Science, Computer Science, Statistics, Mathematics) is preferred.
Responsibilities:
  • Collaborate with cross-functional teams to define problem statements, hypotheses, and success metrics for data science projects.
  • Design, develop and deploy machine learning models and predictive analytics solutions at scale.
  • Perform exploratory data analysis, feature engineering, and data preprocessing to support model development.
  • Apply statistical analysis and machine learning techniques to extract insights and solve business problems.
  • Prototype and implement data products and pipelines using modern data tools and frameworks.
  • Drive the adoption of best practices in data science, including experiment design, testing, and evaluation.
  • Communicate findings and insights to stakeholders through data visualization, reports, and presentations.
  • Stay up-to-date with the latest developments and trends in machine learning and data science.
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